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Agent Skill · 研究检索

codeck-speech(编解码器语音)

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

codeck-speech 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 29,279。

总安装 3,081周安装 131GitHub Stars 207下载 1,079核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:codeck-speech(编解码器语音)
来源仓库:https://github.com/hiyeshu/codeck
仓库路径:skills/codeck-speech
安装命令:
npx skills add https://github.com/hiyeshu/codeck --skill codeck-speech
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/hiyeshu/codeck --skill codeck-speech

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

codeck-speech 用于辅助演讲准备,根据内容和受众选择合适的教练角色。适合在 Codex、Claude、Cursor、Gemini CLI 中需要优化演讲效果或准备技术分享时使用。支持技术类(Feynman 简化法)、商业类(Jobs 风格)和学术类(Rosling 数据驱动)等不同风格。

安装前建议确认演讲主题、时长和目标听众,注意要读取相关的 HTML 和 outline 文件。提供结构化的演讲准备流程和针对不同场景的最佳实践指导。

来源仓库内路径:skills/codeck-speech

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/hiyeshu/codeck --skill codeck-speech;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

codeck-speech 怎么安装?

在终端执行 npx skills add https://github.com/hiyeshu/codeck --skill codeck-speech。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

codeck-speech 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

codeck-speech 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

codeck-speech 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

codeck-speech 用的人多吗?

公开数据是累计安装 3,081 次,近一周安装 131 次,下载 1,079 次,GitHub 207 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

codeck-speech 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
codeck-speech

编解码器语音 · 本页

3,081207只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

codeck speech

Role activation

Read $DECK_DIR/diagnosis.md. If a speech role is recommended, use it. Otherwise, pick a coach based on domain and audience:

Technical → Feynman: simplify the complex, bridge with analogy Business → Jobs: build anticipation, one "one more thing" Academic → Hans Rosling: let data tell the story

Setup

DECK_DIR="$HOME/.codeck/projects/$(basename "$(pwd)")"
mkdir -p "$DECK_DIR"
bash "$HOME/.claude/skills/codeck/scripts/status.sh" "$DECK_DIR"

Read:

  • HTML (latest *-r*.html) — actual slide content
  • outline.md — structure, arc, user intent
  • design-notes.md — visual intent (speech rhythm should match visual rhythm)

If no HTML and no outline, suggest /codeck-design or /codeck-outline first.

If only outline exists, write based on outline — note that the script is based on structure, not final visuals.

Smart skip: skip questions if user's instruction already specifies style and duration.

Questions

Q1: Style

  • A) TED — conversational, story-driven, breathing room
  • B) Formal — structured, precise language
  • C) Casual — natural, humor ok

Q2: Duration

  • A) 5 min — lightning, ~1000 words
  • B) 15 min — standard, ~3000 words
  • C) 30+ min — deep dive, ~6000 words

Generate

Before writing, build a fragment map. For each slide in the HTML, list: slide number, title, fragment count (data-f elements). This map determines the speech structure — slides with fragments get ### [on enter] + ### [fragment N] sections, slides without get a single block. Do not skip this step.

Write a complete, readable-aloud transcript. Page by page.

Rules

  1. One section per slide — matches the deck
  2. Transitions — natural bridges between pages
  3. Stage directions — write in the same language as the transcript. Chinese: [停顿 2秒] [放慢] [看观众]; English: [pause 2s] [slow down] [look at audience]; other languages: translate accordingly. The speaker must understand them without switching languages.
  4. Word count — ~200 words/min Chinese, ~130 words/min English
  5. Source-based — no fabricated data
  6. Strong opening — story, data, or question
  7. Strong close — callback to opening or call to action

Style notes

TED: use "you" / "we", mix short and long sentences, pause after key points, end by echoing the opening.

Formal: complete sentences, logical progression, summarize + outlook at the end.

Casual: colloquial, self-deprecating ok, casual transitions, end with a surprise.

Time budget

SlideTitleWordsEstimate
1.........
  • A) Help me trim the ones over time
  • B) I'll manage it myself

Write back HTML data-notes (fragment-synced)

The engine's buildNotes() concatenates the slide's data-notes with each visible fragment's data-notes as the presenter steps through. Use this to sync speech rhythm with fragment rhythm.

How it works

  1. Read the slide's fragments — find all elements with data-f="N" to know the stepping order
  2. Split the speech into segments — one segment per step (slide entry + each fragment)
  3. Assign notes to each step:

- Slide's data-notes → what to say when the slide first appears (before any fragment) - data-f="1" element's data-notes → what to say when fragment 1 reveals - data-f="2" element's data-notes → what to say when fragment 2 reveals - ...and so on

Example

Speech for slide 3:

"Let's talk about the three ideas behind codeck. [pause 2s] First, it recruits people, not rules. [pause] Second, isomorphic mapping. [pause] Third, no schema ceiling."

Slide 3 has data-f="1", data-f="2", data-f="3":

<section class="slide" data-notes="Let's talk about the three ideas behind codeck. [pause 2s]">
  <h2 data-f="1" data-notes="First, it recruits people, not rules. [pause]">People, not rules</h2>
  <p data-f="2" data-notes="Second, isomorphic mapping. [pause]">Isomorphic mapping</p>
  <p data-f="3" data-notes="Third, no schema ceiling.">No schema ceiling</p>
</section>

Presenter presses → three times. Notes build up progressively:

  • Step 0: "Let's talk about the three ideas..."
  • Step 1: + "First, it recruits people..."
  • Step 2: + "Second, isomorphic mapping..."
  • Step 3: + "Third, no schema ceiling."

Rules

  • If a slide has no fragments, put the full speech in the slide's data-notes
  • HTML-escape quotes inside data-notes attribute values
  • Keep stage directions ([pause], [slow down], etc.) in the notes
  • Each segment should be self-contained — the presenter reads what's new at each step
  • Match the number of speech segments to the number of steps (1 + fragment count)

Output: $DECK_DIR/speech.md

---
style: "{style}"
duration: "{target}"
totalEstimate: "{estimate}"
---

# Speech: {topic}

---

## Slide 1: {title}
<!-- estimate: {N}s | {M} words | fragments: 0 -->

{verbatim speech text}

[pause 2s]

---

## Slide 2: {title}
<!-- estimate: {N}s | {M} words | fragments: 3 -->

### [on enter]

{what to say when slide appears, before any fragment}

### [fragment 1]

{what to say when fragment 1 reveals}

### [fragment 2]

{what to say when fragment 2 reveals}

### [fragment 3]

{what to say when fragment 3 reveals}

---

Done

Point to the single strongest moment in the script — the line or pause that will land hardest:

codeck speech done. Strongest moment: {slide N — what happens and why it works. e.g., "Slide 4, the three-second pause after the question. That silence is where the audience decides you're worth listening to."} {one line — readiness assessment} Output: $DECK_DIR/speech.md + HTML data-notes updated Press P in the deck for speaker mode to see the script. All done. Need to export? /codeck-export. Check progress anytime with /codeck.

平台分布

Codex

35.71%
按下载量换算385

Claude

30.95%
按下载量换算334

Cursor

17.53%
按下载量换算189

Gemini CLI

9.01%
按下载量换算97

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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